Back
  1. Home
  2. Profile of Tiago CARNEIRO PESSOA (Unilu)
Profil

CARNEIRO PESSOA Tiago

Main Referenced Co-authors
BOUVRY, Pascal  (2)
GMYS, Jan (2)
HELBECQUE, Guillaume, André, Marcel  (2)
MELAB, Nouredine (2)
Main Referenced Keywords
Chapel (2); Productivity-awareness (2); Branch-and-Bound (1); Distributed programming (1); Exact optimization (1);
Main Referenced Disciplines
Computer science (2)

Publications (total 2)

The most downloaded
18 downloads
HELBECQUE, G., GMYS, J., CARNEIRO PESSOA, T., MELAB, N., & BOUVRY, P. (2022). A performance-oriented comparative study of the Chapel high-productivity language to conventional programming environments. In PMAM '22: Proceedings of the Thirteenth International Workshop on Programming Models and Applications for Multicores and Manycores (pp. 21-29). New York, United States: Association for Computing Machinery. doi:10.1145/3528425.3529104 https://hdl.handle.net/10993/55211

The most cited

3 citations (Scopus®)

HELBECQUE, G., GMYS, J., CARNEIRO PESSOA, T., MELAB, N., & BOUVRY, P. (2022). A performance-oriented comparative study of the Chapel high-productivity language to conventional programming environments. In PMAM '22: Proceedings of the Thirteenth International Workshop on Programming Models and Applications for Multicores and Manycores (pp. 21-29). New York, United States: Association for Computing Machinery. doi:10.1145/3528425.3529104 https://hdl.handle.net/10993/55211

HELBECQUE, G., GMYS, J., MELAB, N., CARNEIRO PESSOA, T., & BOUVRY, P. (03 May 2023). Productivity-aware Parallel Distributed Tree-Search for Exact Optimization [Paper presentation]. International Conference on Optimization and Learning, Malaga, Spain.
Peer reviewed

HELBECQUE, G., GMYS, J., CARNEIRO PESSOA, T., MELAB, N., & BOUVRY, P. (2022). A performance-oriented comparative study of the Chapel high-productivity language to conventional programming environments. In PMAM '22: Proceedings of the Thirteenth International Workshop on Programming Models and Applications for Multicores and Manycores (pp. 21-29). New York, United States: Association for Computing Machinery. doi:10.1145/3528425.3529104
Peer reviewed

Contact ORBilu